Data Engineer

Overview

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions.

We are seeking a highly skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. Your work will ensure the availability, reliability, and performance of our data systems.

Responsibilities will include

• Data Pipeline Development: Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data


• ETL Processes: Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem


• Data Quality Assurance: Implement data validation and quality checks to ensure accuracy and consistency


• Data Modeling: Design and maintain data models, schemas, and database structures to support analytical and operational use cases


• Data Warehousing: Design and manage data warehouses or data lakes to support business intelligence and reporting


• Performance Optimization: Continuously monitor and optimize data pipelines and queries for maximum efficiency and scalability


• Data Integration: Build and maintain integrations with internal and external data sources and APIs


• Infrastructure Management: Configure and manage data infrastructure components, including databases, data warehouses, and distributed computing frameworks


• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored solutions


• Documentation: Document technical designs, workflows, and best practices for knowledge sharing

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field


• 3+ years of experience in data engineering or a similar role


• Proficiency in programming languages commonly used in data engineering (e.g., Python)


• Strong knowledge of database systems, data modeling techniques, and SQL proficiency


• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure)


• Excellent problem-solving skills with attention to detail


• Familiarity with ETL tools (e.g., SSIS, Databricks)


• Effective communication skills for collaborating in a team-oriented environment


• Ability to adapt to evolving technologies and business requirements

Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.

It’s a great place to work! Will you join us?

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.